Up to this point, we have progressed in our study of linear algebra without ever specifying whether the entries of our vectors and matrices are real or complex numbers. Although the examples and exercises presented thus far concern real matrices (i.e., matrices having real entries), all the definitions, propositions and results found in previous lectures are applicable without modification to complex matrices (i.e., matrices whose entries are complex numbers). In fact, if you revise those lectures, you will realize that nowhere, and especially in no proof, it is necessary to assume that a matrix or vector be real. The only caveat is that when we deal with complex matrices, we also need to use complex scalars when taking linear combinations.
In this lecture, we are going to revise some elementary facts about complex numbers. We then show some basic properties of complex matrices and provide some useful definitions.
A complex number
is a number that can be written
as
where
and
are real numbers, called the real and imaginary part of the complex number
respectively,
and
is
called imaginary unit.
Hence, when we manipulate complex numbers, the key "trick" we exploit over and
over again is
Imaginary numbers allow us to find solutions to equations that have no real
solutions. For example, the
equationhas
no real solution, but it has two imaginary
solutions
Real numbers are complex numbers that have zero imaginary part. The latter is
often omitted, that is, instead of writing
we simply write
.
An important concept is that of complex conjugate. Given a
complex
numberits
conjugate, denoted by
,
is
As a consequence, double conjugation leaves numbers
unchanged:
The algebra of complex numbers is similar to the algebra of real numbers.
Given two complex
numberswe
have the following rules:
Addition:
Subtraction:
Multiplication:
Division:
Note that conjugation is distributive under
addition:and
under
multiplication:
The modulus (or absolute value) of a complex number
is defined
as
where we consider only the positive root.
Clearly, the modulus is always a real number.
Complex matrices (and vectors) are matrices whose entries are complex numbers.
Given a
matrix
,
its complex conjugate
is the matrix such that
that
is, the
-th
entry of
is equal to the complex conjugate of the
-th
entry of
,
for any
and
.
Example
Define the matrix
Then
its complex conjugate
is
The distributive properties that hold for the conjugation of complex numbers hold also for the conjugation of matrices.
Proposition
If
and
are two
matrices,
then
We have that
for
any
and
,
by the distributive property of the conjugation of complex numbers under
addition.
Proposition
If
is
matrix and
is a
matrix,
then
We have that
for
any
and
,
by the distributive property of the conjugation of complex numbers under
addition and multiplication.
Proposition
If
is a
matrix and
is a scalar,
then
We
havefor
any
and
,
by the definition of
multiplication
of a matrix by a scalar and by the distributive property of the
conjugation of complex numbers under multiplication.
A trivial but useful property is that taking the conjugate of a matrix that
has only real entries does not change the matrix. In other words, if
has only real entries,
then
This is a consequence of the fact that a real number can be seen as a complex number with zero imaginary part. But all that conjugation does is to change the sign of the imaginary part of a complex number. Therefore, a real number is equal to its conjugate.
Below you can find some exercises with explained solutions.
Define two
vectorsCompute
the following modulus:
The product of
and
is
and
its modulus
is
Define
and
Compute
First of all, we can substitute
into
:
The
complex conjugate of
is
The
product we need to compute
is
Please cite as:
Taboga, Marco (2021). "Complex vectors and matrices", Lectures on matrix algebra. https://www.statlect.com/matrix-algebra/complex-vectors-and-matrices.
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